Lodging Recommendations Using the SparkML Engine ALS and Surprise SVD

Authors

  • Sageri Fikri Ramadhan Telkom University, Bandung
  • Z K Abdurahman Baizal Telkom University, Bandung
  • Rita Rismala Telkom University, Bandung

DOI:

https://doi.org/10.30865/mib.v%25vi%25i.2257

Keywords:

Recommendation, Lodging, ALS, SVD, Rating, NLTK

Abstract

Recommendation system is a process or tool used to provide predictions for users to choose something based on an existing domain. This system has become a primary need for today's modern digital industry such as in the entertainment, shopping, and service sectors. In this research, we focus on how to develop a recommendation system for accommodation services. We use the Alternating Least Square and Singular Value Decomposition methods to predict and recommend lodging to users

Author Biographies

Sageri Fikri Ramadhan, Telkom University, Bandung

School of Computing, Informatics Study Program

Z K Abdurahman Baizal, Telkom University, Bandung

School of Computing, Informatics Study Program

Rita Rismala, Telkom University, Bandung

School of Computing, Informatics Study Program

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Published

2020-10-20

Issue

Vol. 4 No. 4 (2020): Oktober 2020

Section

Articles

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